ObjectiveTaking Aurantii Fructus Immaturus juice（AFI）-processed Atractylodis Macrocephalae Rhizoma（AMR） as an example， this study aims to systematically compare the volatile and non-volatile components of AMR and its processed products， investigate the key differential components， evaluate their anti-inflammatory activities， and elucidate the synergistic mechanism of processing. MethodsThe chemical compositions of volatile and non-volatile components in AMR and AFI-processed AMR were systematically characterized using gas chromatography-mass spectrometry（GC-MS） and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， with relative mass fractions and response values determined separately. Volatile components were identified through searches in the National Institute of Standards and Technology（NIST）17 database， comparison with retention index（RI） and fragmentation pattern matching. Non-volatile components were identified by searching Waters Traditional Chinese Medicine （TCM） spectral library， in conjunction with PubChem and MassBank， characteristic fragmentation patterns and response values were also used to support identification. Differential components were screened using principal component analysis（PCA）， orthogonal partial least squares-discriminant analysis（OPLS-DA）， with variable importance in the projection（VIP） value >1. Components with high log₂fold change（FC） among major differential groups were selected as those exhibiting significant changes before and after processing. The anti-inflammatory activity of the differential compounds was evaluated by assessing their effects on nitric oxide（NO） production in a lipopolysaccharide（LPS）-induced RAW264.7 macrophage model. Enzyme-linked immunosorbent assay（ELISA） was used to detect the effects of the differential components on tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6， and monocyte chemotactic protein（MCP）-1 levels， and immunofluorescence（IF） was employed to assess their effects on nuclear transcription factor（NF）-κB p65 translocation， thereby elucidating the underlying molecular mechanisms. ResultsA total of 36 compounds were identified in the volatile components of AMR and AFI-processed AMR， among which， sesquiterpenes and monoterpenes were significantly increased after processing. In the non-volatile components， 36 compounds were identified， and the main differential components were flavonoids， sesquiterpenoids， and triterpenoids. Flavonoids were the primary differential components distinguishing AMR from its processed products， representing compounds directly introduced during processing. Five compounds， including atractylenolide Ⅲ， tangeritin， nobiletin， hesperidin and narirutin， were selected as representatives of three classes based on their most prominent differential expression among different compound types for subsequent anti-inflammatory activity studies. The results showed that 100 μmol·L^-1 tangerine and narirutin could significantly inhibit LPS-induced NO production（P<0.01） in a concentration-dependent manner. Tangeritin was able to significantly inhibit the levels of TNF-α and MCP-1 secreted by RAW264.7（P<0.05）， while narirutin significantly inhibited the levels of TNF-α， IL-1β， MCP-1 and IL-6（P<0.01）. IF revealed that both tangeritin and narirutin significantly blocked the translocation of NF-κB p65 from the cytoplasm to the nucleus. ConclusionAFI-processed AMR significantly alters the chemical composition profile of AMR， and the newly introduced flavonoid components during processing may be key to its enhanced anti-inflammatory effects.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective:To investigate the prognostic factors in patients with acute myocardial infarction (AMI) who underwent interventional therapy assisted by venous-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This single-center retrospective cohort study enrolled AMI patients who received VA-ECMO-assisted interventional therapy in the Department of Cardiology at the Second Hospital of Jilin University from June 2018 to November 2022. Patients were divided into the in-hospital survival group and in-hospital death group based on the in-hospital survival. Data on patient demographics, laboratory tests, imaging examinations, coronary angiography results, VA-ECMO-related parameters, complications, and prognosis were collected through the electronic medical record system.Results:A total of 71 AMI patients were enrolled, with an age of (62.4±11.1) years, of whom 54 (76%) were male. There were 46 patients in the in-hospital survival group and 25 patients in the in-hospital death group. Compared to the in-hospital survival group, the in-hospital death group exhibited significantly higher levels of cardiac troponin I (36.08 (2.86, 100.00) μg/L vs. 2.75 (0.18, 13.86) μg/L, P=0.01) and B-type natriuretic peptide (1 724.50 (50.00, 4 200.50) vs. 460.85 (163.80, 1 862.33), P=0.01), and the left ventricular ejection fraction was lower ((35.0±12.9)% vs. (43.0±12.8)%, P=0.01), moreover the incidence of patients with left main coronary artery disease (80% (20/25) vs. 39% (18/46), P<0.01), cardiac arrest (56% (14/25) vs. 20% (9/46), P<0.01), cardiopulmonary resuscitation (52%(13/25) vs. 26%(12/46), P=0.03), and the time from cardiac arrest to ECMO initiation >24 hours (84% (21/25) vs. 9% (4/46), P<0.01) were higher. Conclusions:The prognosis of AMI patients undergoing VA-ECMO-assisted interventional therapy may be influenced by a number of related factors, including cardiac troponin I, B-type natriuretic peptide levels, left ventricular ejection fraction, combined with left main coronary artery disease, cardiac arrest and cardiopulmonary resuscitation, and the interval between cardiac arrest and the initiation of ECMO.

Objective To explore the antimicrobial activity of the bacteriocin(tentatively named garvicin LG6)se-creted by Lactococcus garvieae(L.garvieae)SHAMU-LG6 against Staphylococcus aureus(S.aureus)of different hemolytic phenotypes.Methods S.aureus isolated from clinical patients in a hospital of Anhui from 2021 to 2023 were collected.The hemolytic phenotypes of S.aureus were detected by three-point inoculation method.S.aureus of different hemolytic phenotypes were further categorized into methicillin-sensitive S.aureus(MSSA)and methi-cillin-resistant S.aureus(MRSA)according to antimicrobial susceptibility testing results.The antagonistic activity of L.garvieae SHAMU-LG6 against S.aureus of different hemolytic phenotypes was assayed by Oxford cup me-thod.The whole-genome sequencing of L.garvieae SHAMU-LG6 was performed.Biosynthetic gene cluster of gar-vicin LG6 was searched by online databases antiSMASH 7.0 and BAGEL4.Through macroporous resin adsorption,ethanol gradient elution,rotary evaporation,and dried material reconstitution,antimicrobial activity of garvicin LG6 crude extract against S.aureus was detected by the inhibitory testing of Oxford cup method.Results L.garvieae SHAMU-LG6 could significantly antagonize MSSA and MRSA of different hemolytic phenotypes.Biosynthetic gene cluster of garvicin LG6 was present on the chromosomal genome of L.garvieae SHAMU-LG6.The antimicrobial activity of garvicin LG6 secreted by a single colony or 6 mL fermentation fluid of L.garvieae SHAMU-LG6 were at least equal to that of antibiotic disc of 30 pg cefoxitin.Conclusion Garvicin LG6 can efficiently kill MSSA and MR-SA of different hemolytic phenotypes,and has the potential to be developed into a novel antimicrobial agent,which has great prospects for clinical application.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective:To investigate the clinical characteristics, imaging features, risk factors, and prognosis of childhood-onset Takayasu arteritis (TAK) with pulmonary artery involvement.Methods:A retrospective cohort study was conducted in 107 pediatric patients who were initially diagnosed with childhood-onset TAK at Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical Universiy, from January 2010 to December 2024. Clinical data, including demographic information, imaging features, treatment regimens, and prognosis were collected. Patients were divided into with and without pulmonary artery involvement groups. Intergroup comparisons were performed. Multivariate logistic regression was used to identify risk factors for pulmonary artery involvement. Kaplan-Meier analysis with Log-Rank testing was used for survival analyze.Results:Among 107 children with TAK, 26 were male, 81 were female, with a diagnosis age of 88 (5, 137) months. Sixteen cases were in the pulmonary artery involvement group and 91 cases in the non-pulmonary artery involvement group. The pulmonary artery involvement group was predominantly female (14 cases), with a diagnosis age of 39 (4, 104) months. The pulmonary artery involvement group had higher incidence rates of fatigue,pulmonary hypertension, right heart failure,superior mesenteric artery involvement,as well as higher neutrophil counts, C-reactive protein (CRP) levels (all P<0.05). Hemoglobin was lower in the pulmonary artery involvement group ( P<0.05). Imaging findings revealed that all 16 children in the pulmonary artery involvement group showed signs of pulmonary arterial wall thickening. Other manifestations included dilation in 2 cases, stenosis in 2 cases, and occlusion in 1 case. Unilateral involvement (12 cases) was more common, and the right pulmonary artery (10 cases) was more frequently affected. Independent risk factors for pulmonary artery involvement in childhood-onset TAK patients included superior mesenteric artery involvement ( OR=5.58, 95% CI 1.41-22.10, P=0.014) and elevated CRP levels ( OR=1.02, 95% CI 1.00-1.03, P=0.027). During a follow-up of 3.9 (1.4,8.1) years, 2 patients with pulmonary artery involvement (all with pulmonary hypertension), among the survivors in the pulmonary artery involvement group, 2 cases still exhibited persistent pulmonary artery dilation, and one case had pulmonary artery occlusion; and 6 patients (6.6%) without pulmonary artery involvement died. Patients with pulmonary artery involvement had significantly lower survival rates compared to those without involvement ( P=0.024). Conclusions:Childhood-onset TAK with pulmonary artery involvement has an insidious clinical presentation, and can progress to pulmonary hypertension, pulmonary artery occlusion, and a significantly reduced survival rate. Patients with mesenteric artery involvement or elevated CRP have higher risks of pulmonary artery involvement, requiring close pulmonary vascular monitoring and early intervention to improve prognosis.

ObjectiveTo investigate the neuroprotective effects of Tiaoseng decoction on a perimenopausal depression （PMD） rat model and to examine its regulatory influence on the estrogen receptor β （ERβ）/monoamine oxidase A （MAOA）/c-Jun N-terminal kinase （JNK） signaling pathway， thereby elucidating its potential mechanisms of action. MethodsForty-eight female Sprague-Dawley （SD） rats were divided into a sham group， a model group， a 17β-estradiol （E₂） group （2.5 × 10^-5 g·kg^-1）， and low-， medium-， and high-dose Tiaoseng decoction groups （9.69， 19.37， 38.74 g·kg^-1） by using a random number table method， with eight rats in each group. The PMD model was replicated using ovariectomy （OVX） combined with chronic unpredictable mild stress （CUMS） and was treated continuously with 17β-E₂ and different doses of Tiaoseng decoction for 28 d， once a day. Depressive-like behaviors were assessed using the sucrose preference test， open-field test， and forced swim test. Histopathological changes in the prefrontal cortex were examined using hematoxylin-eosin （HE） and Nissl staining. Enzyme-linked immunosorbent assay （ELISA） was performed to measure serum levels of E₂， luteinizing hormone （LH）， and follicle-stimulating hormone （FSH）， as well as reactive oxygen species （ROS）， malondialdehyde （MDA）， and superoxide dismutase （SOD） levels in the prefrontal cortex. Mitochondrial ultrastructure of prefrontal cortex neurons was observed via transmission electron microscopy. Terminal deoxynucleotidyl transferase dUTP nick-end labeling （TUNEL） was used to detect neuronal apoptosis in the prefrontal cortex. Immunohistochemistry （IHC） was applied to analyze the protein expression of brain-derived neurotrophic factor （BDNF）， postsynaptic density protein95 （PSD95）， and synaptophysin （SYP） in the prefrontal cortex. Immunofluorescence （IF） was conducted to evaluate the average fluorescence intensity of ERβ and MAOA in the prefrontal cortex. Western blot and real-time quantitative polymerase chain reaction （Real-time PCR） were used to determine the protein and mRNA expression levels of key molecules in the ERβ/MAOA/JNK signaling pathway in the prefrontal cortex. ResultsCompared with the sham group， the model group had significantly reduced sugar-water preference index， total distance traveled， average speed， and activity time in the central region in the open field experiment， E₂ content， and SOD content （P<0.01） and significantly reduced BDNF， PSD95， SYP， and ERβ expression and B-cell lymphoma-2 （Bcl-2）/Bcl-2-associated X protein （Bax） ratio （P<0.01）. Additionally， the model group exhibited severe histopathological damage， disrupted mitochondrial structure， cristae disappearance or fracture， swelling， and deformation in the prefrontal lobe. The immobilization time of forced swimming， TUNEL positivity， LH， FSH， MDA， ROS， MAOA， Caspase-3， p-JNK/JNK， and p-c-Jun/c-Jun were significantly increased in the model group compared with the sham group （P<0.01）. Compared with the model group， the low-， medium-， and high-dose Tiaoseng decoction groups and the 17β-E₂ group had increased sugar-water preference index， total distance traveled， average speed， and activity time in the central region in the open-field test， E₂ content， and SOD content （P<0.05， P<0.01） and elevated BDNF， PSD95， SYP， and ERβ expression and Bcl-2/Bax ratio （P<0.05， P<0.01）. In addition， histopathological damage to the prefrontal lobe was improved to different degrees， and mitochondrial structure was gradually repaired. The immobilization time of forced swimming， TUNEL positivity， LH， FSH， MDA， ROS， MAOA， Caspase-3， p-JNK/JNK and p-c-Jun/c-Jun were significantly reduced in the low-， medium-， and high-dose Tiaoseng decoction groups and the 17β-E₂ group compared with the model group （P<0.05， P<0.01）. ConclusionTiaoseng decoction has significant neuroprotective effects on PMD model rats， which can alleviate perimenopausal depressive disorder by inhibiting oxidative stress， attenuating neuronal apoptosis， and restore synaptic plasticity via ERβ/MAOA/JNK signaling pathway regulation.

Objective To investigate the expression of Cyclin F in clear cell renal cell carcinoma (ccRCC), its clinicopathological characteristics, and its effect on the biological behavior of renal cancer cell lines Methods RT-qPCR and Western blot were used to detect the mRNA and protein expression of Cyclin F in fresh ccRCC specimens. Immunohistochemistry assay was performed to detect the expression of Cyclin F protein in 80 paraffin samples. CCK-8 assay, scratch assay, and flow cytometry were conducted to determine the effects of Cyclin F overexpression on the proliferation, migration, and apoptosis of renal cancer cell lines. Results The expression of Cyclin F in cancer tissues was higher than that in adjacent tissues at the mRNA level (P<0.0285). The expression of Cyclin Fprotein in cancer tissues was lower than that in adjacent tissues (P<0.001). The analysis of clinicopathological parameters showed that the low expression of Cyclin F was correlated with WHO/ISUP grade, Ki67 index, and age (P=0.041, 0.047, 0.008,). In vitro experiments confirmed that overexpression of Cyclin F promoted the proliferation (P<0.001) and migratory ability (24 h P=0.003, 48 h P=0.0058) of the RCC 786-O cell line, while inhibiting apoptosis (P=0.0019). Conclusion The low expression of Cyclin F protein in ccRCC tissuesis associated with high ISUP grade, high Ki67 index, oldage, and prognosis of patients.

OBJECTIVE To provide a reference for optimizing and promoting the quality standards of Shechuan naolitong granules. METHODS Fifteen batches of Shechuan naolitong granules were used as samples to establish HPLC fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Similarity evaluation and common peak identification were performed， and orthogonal partial least squares discriminant analysis （OPLS-DA） was used to assess quality differences among different batches and to screen quality differential components. Using salvianolic acid B（SAB） as the internal reference， quantitative analysis of multi-components by single-marker （QAMS） was developed to simultaneously determine geniposidic acid （GA）， chlorogenic acid （CA）， vaccarin （VA）， ferulic acid （FA） and senkyunolide I （SI）. The results were compared with those obtained by the external standard method. RESULTS A total of 13 common peaks were identified in the HPLC fingerprints of 15 batches of samples， and the similarities of the spectra were all above 0.96. Seven chromatographic peaks were identified as GA （peak 3）， CA （peak 6）， VA （peak 8）， FA （peak 9）， SI （peak 11）， SAB（peak 12） and TA（peak 13）. OPLS-DA indicated that the differential quality markers among 15 batches were peaks 5， 11 （SI）， and 12 （SAB）.Using SAB as the internal reference， the relative correction factors for GA， CA， VA， FA and SI were calculated as 1.058 4， 0.594 3， 0.643 3， 0.342 7 and 0.262 8， respectively. The mean content of GA， CA， VA， FA， SI and SAB across the 15 batches of samples were 0.155 0， 0.085 4， 0.140 3， 0.071 8， 0.072 7， 1.276 3 mg/g， respectively， showing no significant difference compared with the ESM （P＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS are simple， efficient and economical， providing a reference for the quality control and further development of Shechuan naolitong granules.

Ischemic stroke is the leading cause of disability and mortality worldwide. The blood‒brain barrier (BBB) is the first line of defense after ischemic stroke. Disruption of the BBB induced by brain microvascular endothelial cells (BMECs) dysfunction is a key event that triggers secondary damage to the central nervous system, where blood-borne fluids and immune cells penetrate the brain parenchyma, causing cerebral edema and inflammatory response and further aggravating brain damage. Here, we develop a novel artificial mesenchymal stem cell (MSC) extracellular vesicles by integrating MSC membrane proteins into liposomal bilayers, which encapsulated miR-132-3p with protective effects on BMECs. The artificial extracellular vesicles (MSCo/miR-132-3p) had low immunogenicity to reduce non-specific clearance by the mononuclear phagocytosis system (MPS) and could target ischemia-injured BMECs. After internalization into the damaged BMECs, MSCo/miR-132-3p escaped the lysosomes via the H_II phase transition of 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) and decreased cellular reactive oxygen species (ROS) and apoptosis levels by regulating the RASA1/RAS/PI3K/AKT signaling pathway. In the transient middle cerebral artery occlusion (tMCAO) models, MSCo/miR-132-3p targeted impaired brain regions (approximately 9 times the accumulation of plain liposomes at 12 h), reduced cerebral vascular disruption, protected BBB integrity, and decreased infarct volume (from 44.95% to 6.99%).